Title :
Robust H∞ filters for uncertain discrete-time stochastic systems
Author :
Boukili, Bensalem ; Hmamed, Abdelaziz ; Tadeo, Fernando
Author_Institution :
Fac. of Sci. Dhar El Mehraz, LESSI, Sidi Mohamed Ben Abdellah Univ., Fac. of Sci. Dhar El Mehraz, Fes-Atlas, Morocco
Abstract :
This paper is concerned with the robust H∞ filtering for uncertain discrete-time stochastic systems with polytopic uncertainties. To solve this problem we introduce same slack matrix variables and then use a polynomial parameter dependent approach. Then some conditions expressed as strict linear matrix inequality conditions are derived, which can be easily tested by using standard numerical software. This new approach is shown, via a numerical example, to be less conservative than previous results in the quadratic and parameter-dependent frameworks.
Keywords :
H∞ filters; discrete time systems; linear matrix inequalities; polynomials; stochastic systems; uncertain systems; linear matrix inequality conditions; numerical software; parameter-dependent framework; polynomial parameter dependent approach; polytopic uncertainties; quadratic framework; robust H∞ filters; slack matrix variables; uncertain discrete-time stochastic systems; Barium; Linear matrix inequalities; Maximum likelihood detection; Nonlinear filters; Robustness; Stochastic systems; H∞ filtering; Linear Matrix Inequalities; Robust Filtering; Stochastic Systems; Uncertainty;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
DOI :
10.1109/STA.2014.7086774